TY - JOUR
T1 - ENSO Diversity and the Simulation of Its Teleconnections to Winter Precipitation Extremes Over the US in High Resolution Earth System Models
AU - Mahajan, Salil
AU - Passarella, Linsey S.
AU - Tang, Qi
AU - Keen, Noel D.
AU - Caldwell, Peter M.
AU - van Roekel, Luke P.
AU - Golaz, Jean Christophe
N1 - Publisher Copyright:
© 2023 Los Alamos National Laboratory, Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory and The Authors.
PY - 2023/6/16
Y1 - 2023/6/16
N2 - Accounting for the diversity in El Niño Southern Oscillation (ENSO)'s spatial pattern, with the novel ENSO longitudinal index (ELI), we evaluate the simulation of its teleconnections to US winter precipitation extremes by seven global high-resolution (HR) Earth System Models (ESM). Six (four) HR ESMs simulate the observed increase in precipitation extremes over Southwest US (Southeast US) during ELI-defined El Niño events better than their low-resolution counterparts, which are low-biased. The stronger ENSO-dependence over the Southwest US and Southeast US in those models is associated with an improved simulation of moisture flux into the regions and/or storm track activity there. HR ESMs, however, generally overestimate the increase in precipitation extremes over the Pacific-Northwest during La Niña events. Model bias there is associated with bias in moisture transport into the region during La Niña events, which is amplified by the enhanced vertical mass fluxes in HR.
AB - Accounting for the diversity in El Niño Southern Oscillation (ENSO)'s spatial pattern, with the novel ENSO longitudinal index (ELI), we evaluate the simulation of its teleconnections to US winter precipitation extremes by seven global high-resolution (HR) Earth System Models (ESM). Six (four) HR ESMs simulate the observed increase in precipitation extremes over Southwest US (Southeast US) during ELI-defined El Niño events better than their low-resolution counterparts, which are low-biased. The stronger ENSO-dependence over the Southwest US and Southeast US in those models is associated with an improved simulation of moisture flux into the regions and/or storm track activity there. HR ESMs, however, generally overestimate the increase in precipitation extremes over the Pacific-Northwest during La Niña events. Model bias there is associated with bias in moisture transport into the region during La Niña events, which is amplified by the enhanced vertical mass fluxes in HR.
KW - ENSO diversity
KW - ENSO teleconnections
KW - high resolution Earth System Models
KW - precipitation extremes
UR - http://www.scopus.com/inward/record.url?scp=85194048733&partnerID=8YFLogxK
U2 - 10.1029/2022GL102657
DO - 10.1029/2022GL102657
M3 - Letter
AN - SCOPUS:85194048733
SN - 0094-8276
VL - 50
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 11
M1 - e2022GL102657
ER -